76 to 100 of 175 Remote Predictive Modelling Jobs

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

Board, in support of AIB's customer franchise and social responsibility. The IRB Model Development Team are responsible for the design and delivery of predictive credit risk measurement models relating to the Bank's Pillar 1 capital PD, LGD and EAD models. These models are used to determine the … and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services, and products of the bank. Predictive model development: Take a leading role in building predictive … years' experience in a model monitoring, model development or model validation role. Examples include IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g., mathematics, applied mathematics, physics More ❯

data science. As a Senior Data Scientist, you'll be expected to take ownership of end-to-end projects, working with large datasets, building predictive models, and applying advanced analytical techniques to solve complex business problems. The role requires someone who is comfortable with ambiguity and can deliver solutions More ❯

techniques, wider department goals, and cross-functional collaboration to deliver impactful analytical solutions. Duties and Responsibilities: 1. Advanced Analytics and Modeling Design and implement predictive models for key outcomes like conversion propensity and lead scoring Apply machine learning techniques including classification, regression, clustering, and recommendation systems Develop and validate More ❯

Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modelling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R) Ability to work effectively in a dynamic More ❯

Responsibilities Analyze complex data sets to identify trends and patterns Develop and implement predictive models to drive business decisions Collaborate with business stakeholders to identify opportunities for data-driven growth Design and implement data visualizations to communicate insights Ensure data quality and integrity through data validation and testing Stay More ❯

a Data Scientist, you will: Dive into large datasets to extract meaningful insights and identify trends that drive strategic decision-making. Develop and refine predictive models and machine learning algorithms to address complex business challenges. Partner with cross-functional teams, including data engineers, analysts, and product managers, to design More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and … or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … relevant standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical More ❯

What You'll Be Doing: As a Data Scientist, your responsibilities will include: Collecting, analyzing, and interpreting large datasets to solve business challenges. Building predictive models and machine learning algorithms to inform product and business decisions. Collaborating with developers, engineers, and product teams to integrate data-driven solutions. Conducting More ❯

commercial, product, and engineering, to build automated ML/AI solutions that will provide tangible benefits for Travel Counsellors. Principal Accountabilities Build and deploy predictive models for optimising pricing, personalised recommendations, and operational efficiencies. Collaborate with data and software engineers to operationalise ML models within our wider technology platform More ❯

of anti-fraud, investigations, anti-bribery and corruption, and regulatory requirements analysis skillsets Proven knowledge and experience using advanced analytic tools for data visualization, predictive modeling, data management, ETL, data aggregation, and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of More ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying More ❯

CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. Data Management & Engineering More ❯

of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI solutions into autonomous robotic systems. Analyze large datasets More ❯

Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

. Experience in behavioural analytics software (Google Analytics or similar). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of mentoring and coaching junior analysts, acting as a subject matter expert in business analytics. WHO WE More ❯

initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings More ❯